Triple

T25076790
Position Surface form Disambiguated ID Type / Status
Subject Bloodline E628070 entity
Predicate featuresSeriesMythology P9595 FINISHED
Object The Otherness NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Otherness | Statement: [Bloodline, featuresSeriesMythology, The Otherness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresSeriesMythology
Context triple: [Bloodline, featuresSeriesMythology, The Otherness]
  • A. mythologicalContent
    Indicates that the subject contains, references, or is associated with myths, mythological narratives, or myth-based elements.
  • B. mythologicalFigureFeatured
    Indicates that a mythological figure is prominently depicted, referenced, or plays a significant role within a given work, context, or medium.
  • C. mythologicalCategory
    Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
  • D. subsequentMythology
    Indicates that one mythology develops later than, or is derived from, another mythology in time or tradition.
  • E. linkedToMythology chosen
    Indicates that something has a connection or association with a mythological tradition, figure, story, or theme.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2ff2e73f881909992bf3eda5c25cb completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f657f653448190a945b4751af8507d completed May 2, 2026, 8 p.m.
PD Predicate disambiguation batch_69f6575ba12081909396036f78757a76 completed May 2, 2026, 7:58 p.m.
Created at: April 18, 2026, 6:21 a.m.